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Empirical Approaches to the Study of Latent Structure and Classification of Child and Adolescent Anxiety Psychopathology

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Handbook of Child and Adolescent Anxiety Disorders

Abstract

The need to identify and classify anxiety psychopathology among youth is of great public health and scientific importance (Albano, Chorpita, & Barlow, 2003). Anxiety psychopathology is highly prevalent among youth (e.g., Costello & Angold, 1995a, 1995b), associated with significant suffering and life impairment (e.g., Albano & Detweiler, 2001), and often related to long-term negative outcomes (e.g., chronic mental health problems; Achenbach, Howell, McConaughy, & Stanger, 1995). Consequently, a variety of research and clinical efforts are focused on understanding, measuring, preventing, and treating anxiety psychopathology among children and adolescents. One fundamental element of building this knowledge base involves taxonomic study of anxiety psychopathology among youth. Such taxonomic study broadly strives to validly “carve nature at its joints” by “drawing boundaries between adjacent syndromes, and between these syndromes and normality, where there are genuine discontinuities, either in symptomatology or in etiology” (Kendell, 2002, p. 7), and concurrently designing a system of classification grounded in this evolving knowledge of the constructs’ latent structure(s). This area of scholarship is foundational to the progress and scientific veracity of our collective efforts to study anxiety psychopathology among youth. Indeed, the degree to which the work of clinical researchers focused on understanding various aspects about the nature of anxiety psychopathology among youth, such as its prevalence, course, or its etiology and maintenance, is scientifically sound and clinically useful relies in large part on the premise that the various phenotypes of anxiety psychopathology (disorders or syndromes) that we study and that guide our work are themselves empirically founded and valid in the first place (Kendell, 2002). Thus, in the context of anxiety psychopathology phenotypes of limited validity, our clinical capacity to understand, measure, prevent, and treat anxiety psychopathology among youth may be greatly impeded (Achenbach, 1995).

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Notes

  1. 1.

     Historically, some scholars refer to the co-occurrence between one or more disorders as “comorbidity,” whereas others have argued for the use of terms such as “multi-morbidity” or “covariation” or “co-occurrence.” From the broadest perspective, all these terms are intended to reflect the fact that mental disorders are (generally) correlated with one another (e.g., Lilienfeld et al., 1994). In the present chapter, we use the term co-occurrence to reflect instances of two clinical conditions and multi-morbidity of instances when more than two conditions are present.

References

  • Achenbach, T. M. (1966). The classification of children’s psychiatric symptoms: A factor-analytic study. Psychological Monographs: General & Applied, 80, 1–37.

    Google Scholar 

  • Achenbach, T. M. (1995). Empirically based assessment and taxonomy: Applications to clinical research. Psychological Assessment, 7, 261–274.

    Article  Google Scholar 

  • Achenbach, T. M. (2008). Assessment, diagnosis, nosology, and taxonomy of child and adolescent psychopathology. In M. Hersen & A. M. Gross (Eds.), Handbook of clinical psychology (Vol. 2, pp. 429–457). New York: Wiley.

    Google Scholar 

  • Achenbach, T. M., Bernstein, A., & Dumenci, L. (2005). DSM-oriented scales and statistically based syndromes for ages 18 to 59: Linking taxonomic paradigms to facilitate multitaxonomic approaches. Journal of Personality Assessment, 84, 49–63.

    Article  PubMed  Google Scholar 

  • Achenbach, T. M., Dumenci, L., & Rescorla, L. A. (2003). DSM-oriented and empirically based approaches to constructing scales from the same item pools. Journal of Clinical Child and Adolescent Psychology, 32, 328–340.

    Article  PubMed  Google Scholar 

  • Achenbach, T. M., & Edelbrock, C. S. (1984). Psychopathology of childhood. Annual Review of Psychology, 35, 227–256.

    Article  PubMed  Google Scholar 

  • Achenbach, T. M., Howell, C. T., McConaughy, S. H., & Stanger, C. (1995). Six-year predictors of problems in a national-sample of children and youth: I. Cross-informant syndromes. Journal of the American Academy of Child and Adolescent Psychiatry, 34, 336–347.

    Article  PubMed  Google Scholar 

  • Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA School-Age Forms & Profiles. Burlington, VT: University of Vermont Research Center for Children, Youth, and Families.

    Article  PubMed  Google Scholar 

  • Albano, A. M., Chorpita, B. F., & Barlow, D. A. (2003). Childhood anxiety disorders. In E. J. Mash & R. A. Barkley (Eds.), Child psychopathology (pp. 279–329). New York: Guilford Press.

    Google Scholar 

  • Albano, A. M., & Detweiler, M. F. (2001). The developmental and clinical impact of social anxiety and social phobia in children and adolescents. In S. G. Hoffman & P. M. DiBartolo (Eds.), Social phobia and social anxiety: An integration (pp. 162–178). New York: Plenum Press.

    Google Scholar 

  • American Psychiatric Association. (1980). Diagnostic and statistical manual of mental disorders (3rd ed.). Washington: American Psychiatric Association.

    Google Scholar 

  • American Psychiatric Association. (1987). Diagnostic and statistical manual of mental disorders (3rd ed.). Washington: American Psychiatric Association.

    Google Scholar 

  • American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington: American Psychiatric Association.

    Google Scholar 

  • American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed.). Washington: American Psychiatric Association.

    Google Scholar 

  • Asmundson, G. J. G., Stapleton, J. A., & Taylor, S. (2004). Are avoidance and numbing distinct PTSD symptom clusters? Journal of Traumatic Stress, 17, 467–475.

    Article  PubMed  Google Scholar 

  • Barlow, D. H. (2002). Anxiety and its disorders: The nature and treatment of anxiety and panic (2nd ed.). New York: Guilford Press.

    Google Scholar 

  • Broman-Fulks, J. J., Ruggiero, K. J., Green, B. A., Kilpatrick, D. G., Danielson, C. K., Resnick, H. S., et al. (2006). Taxometric investigation of PTSD: Data from two nationally representative samples. Behavior Therapy, 37, 364–380.

    Article  PubMed  Google Scholar 

  • Brown, T. A. (2001). Taxometric methods and the classification and comorbidity of mental disorders: Methodological and conceptual considerations. Clinical Psychology: Science and Practice, 8, 534–541.

    Article  Google Scholar 

  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford Press.

    Google Scholar 

  • Brown, T. A., & Barlow, D. H. (1992). Comorbidity among anxiety disorders: Implications for treatment and DSM-IV. Journal of Consulting and Clinical Psychology, 60, 835–844.

    Article  PubMed  Google Scholar 

  • Brown, T. A., & Barlow, D. H. (2002). Classification of anxiety and mood disorders. In D. H. Barlow (Ed.), Anxiety and its disorders: The nature and treatment of anxiety and panic (2nd ed., pp. 292–327). New York: Guilford Press.

    Google Scholar 

  • Brown, T. A., Campbell, L. A., Lehman, C. L., Grisham, J. R., & Mancill, R. B. (2001). Current and lifetime comorbidity of the DSM-IV anxiety and mood disorders in a large clinical sample. Journal of Abnormal Psychology, 110, 585–599.

    Article  PubMed  Google Scholar 

  • Cartwright-Hatton, S., Roberts, C., & Chitsabesan, P. (2004). Systematic review of the efficacy of cognitive behaviour therapies for childhood and adolescent anxiety disorders. British Journal of Clinical Psychology, 43, 421–436.

    Article  PubMed  Google Scholar 

  • Clark, L. A., Watson, D., & Reynolds, S. (1995). Diagnosis and classification of psychopathology: Challenges to the current system and future directions. Annual Review of Psychology, 46, 121–153.

    Article  PubMed  Google Scholar 

  • Costello, E. J., & Angold, A. (1995a). Epidemiology in anxiety disorders in children and adolescents. In J. S. March (Ed.), Anxiety disorders in children and adolescents (pp. 109–124). New York: Guilford Press.

    Google Scholar 

  • Costello, E. J., & Angold, A. (1995b). Developmental epidemiology. In D. Cicchetti & D. Cohen (Eds.), Manual of developmental psychopathology (Vol. I, pp. 23–56). New York: Wiley.

    Google Scholar 

  • Craske, M. G. (1999). Anxiety disorders: Psychological approaches to theory and treatment. Boulder: Westview Press.

    Google Scholar 

  • Day, W. F. (1969). Radical behaviorism in reconciliation with phenomenology. Journal of the Experimental Analysis of Behavior, 12, 315–328.

    Article  PubMed  Google Scholar 

  • Eifert, G. H. (1992). Cardiophobia: A paradigmatic behavioural model of heart-focused anxiety and non-anginal chest pain. Behaviour Research and Therapy, 30, 329–345.

    Article  PubMed  Google Scholar 

  • Giaconia, R. M., Reinherz, H. Z., Paradis, A. D., Hauf, A. M. C., & Stashwick, C. K. (2001). Major depression and drug disorders in adolescence: General and specific impairments in early adulthood. Journal of the American Academy of Child & Adolescent Psychiatry, 40, 1426–1433.

    Article  Google Scholar 

  • Haslam, N. (2003). Categorical versus dimensional models of mental disorder: The taxometric evidence. Australian and New Zealand Journal of Psychiatry, 37, 696–704.

    PubMed  Google Scholar 

  • Haslam, N. (2007). The latent structure of mental disorders: A taxometric update on the categorical vs dimensional debate. Current Psychiatry Reviews, 3, 172–177.

    Article  Google Scholar 

  • Hollander, E., & Rosen, J. (2000). Obsessive-compulsive spectrum disorders: A review. New York: Wiley.

    Google Scholar 

  • Hunt, C., Issakidis, C., & Andrews, G. (2002). DSM-IV generalized anxiety disorder in the Australian National Survey of Mental Health and Well-Being. Psychological Medicine, 32, 649–659.

    Article  PubMed  Google Scholar 

  • Ivanova, M. Y., Achenbach, T. M., Rescorla, L. A., Dumenci, L., Almqvist, F., Bilenberg, F., et al. (2007). The generalizability of the Youth Self-Report syndrome structure in 23 societies. Journal of Consulting and Clinical Psychology, 75, 729–738.

    Article  PubMed  Google Scholar 

  • Jensen, P. S. (2003). Comorbidity and child psychopathology: Recommendations for the next decade. Journal of Abnormal Child Psychology, 31, 293–300.

    Article  PubMed  Google Scholar 

  • Joffe, J. M. (2004). Mental disorders: Should our emphasis be on biological or psychosocial factors? An introduction to the special issue. Journal of Primary Prevention, 24, 415–418.

    Article  Google Scholar 

  • Kendell, R. E. (2002). Five criteria for an improved taxonomy of mental disorders. In J. E. Helzer & J. J. Hudziak (Eds.), Defining psychopathology in the 21st century: DSM-V and beyond. Washington: American Psychiatric Publishing.

    Google Scholar 

  • Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005). Prevalence, severity, and comorbidity of 12-Month DSM-IV disorders in the National Comorbidity Survey replication. Archives of General Psychiatry, 62, 617–627.

    Article  PubMed  Google Scholar 

  • Kessler, R. C., McGonagle, K. A., Zhao, S., Nelson, C. B., Hughes, M., Eshleman, S., et al. (1994). Lifetime and 12-month prevalence of DSM-III – R psychiatric disorders in the United States: Results from the National Comorbidity Study. Archives of General Psychiatry, 51, 8–19.

    PubMed  Google Scholar 

  • Kessler, R. C., Stein, M. B., & Berglund, P. (1998). Social phobia subtypes in the National Comorbidity Survey. American Journal of Psychiatry, 155, 613–619.

    PubMed  Google Scholar 

  • Klein, D. N., & Riso, L. P. (1993). Psychiatric disorders: Problems of boundaries and comorbidity. In C. G. Costello (Ed.), Basic issues in psychopathology. New York: Guilford Press.

    Google Scholar 

  • Kollman, D. M., Brown, T. A., Liverant, G. I., & Hofmann, S. G. (2006). A taxometric investigation of the latent structure of social anxiety disorder in outpatients with anxiety and mood disorders. Depression and Anxiety, 23, 190–199.

    Article  PubMed  Google Scholar 

  • Kotov, R., Schmidt, N. B., Lerew, D. R., Joiner, T. E., & Ialongo, N. S. (2005). Latent structure of anxiety: Taxometric exploration. Psychological Assessment, 7, 369–374.

    Article  Google Scholar 

  • Krueger, R. F. (1999). The structure of common mental disorders. Archives of General Psychiatry, 56, 921–926.

    Article  PubMed  Google Scholar 

  • Krueger, R. F. (2005). Continuity of Axes I and II: Toward a unified model of personality, personality disorders, and clinical disorders. Journal of Personality Disorders, 19, 233–261.

    Article  PubMed  Google Scholar 

  • Krueger, R. F., Caspi, A., Moffitt, T. E., & Silva, P. A. (1998). The structure and stability of common mental disorders (DSM-III-R): A longitudinal-epidemiological study. Journal of Abnormal Psychology, 107, 216–227.

    Article  PubMed  Google Scholar 

  • Krueger, R. F., Chentsova-Dutton, Y. E., Markon, K. E., Goldberg, D., & Ormel, J. (2003). A cross cultural study of the structure of comorbidity among common psychopathological syndromes in the general health care setting. Journal of Abnormal Psychology, 112, 437–447.

    Article  PubMed  Google Scholar 

  • Krueger, R. F., & Markon, K. E. (2006). Reinterpreting comorbidity: A model based approach to understanding and classifying psychopathology. Annual Review of Clinical Psychology, 2, 111–133.

    Article  PubMed  Google Scholar 

  • Krueger, R. F., McGue, M., & Iacono, W. G. (2001). The higher-order structure of common DSM mental disorders: Internalization, externalization, and their connections to personality. Personality and Individual Differences, 30, 1245–1259.

    Article  Google Scholar 

  • Krueger, R. F., & Piasecki, T. M. (2002). Toward a dimensional and psychometrically-informed approach to conceptualizing psychopathology. Behaviour Research and Therapy, 40, 485–500.

    Article  PubMed  Google Scholar 

  • Kupfer, D. J., First, M. B., & Regier, D. A. (2002). A research agenda for DSM – V. Washington: American Psychological Association.

    Google Scholar 

  • Lang, P. J. (1994). The varieties of emotional experience: A meditation on James-Lange theory. Psychological Review, 101, 211–221.

    Article  PubMed  Google Scholar 

  • Lazarsfeld, P. F., & Henry, N. W. (1968). Latent structure analysis. Boston: Houghton Mifflin.

    Google Scholar 

  • Lilienfeld, C. O., Waldman, I. D., & Israel, A. C. (1994). A critical examination of the use of the term and concept of comorbidity in psychopathology research. Clinical Psychology: Science and Practice, 1, 71–83.

    Article  Google Scholar 

  • Lubke, G. H., & Muthén, B. O. (2005). Investigating population heterogeneity with factor mixture models. Psychological Methods, 10, 21–39.

    Article  PubMed  Google Scholar 

  • Mash, E. J., & Dozois, D. J. A. (2003). Child psychopathology: A developmental-systems perspective. In E. J. Mash & R. A. Barkley (Eds.), Child psychopathology (pp. 3–74). New York: Guilford Press.

    Google Scholar 

  • Meehl, P. E. (1973). Some methodological reflections on the difficulties of psychoanalytic research. Psychological Issues, 8, 104–117.

    PubMed  Google Scholar 

  • Meehl, P. E. (1999). Clarifications about taxometric method. Applied & Preventive Psychology, 8, 165–174.

    Article  Google Scholar 

  • Meehl, P. E. (2001). Comorbidity and taxometrics. Clinical Psychology: Science and Practice, 8, 507–519.

    Article  Google Scholar 

  • Meehl, P. E. (2004). What’s in a taxon? Journal of Abnormal Psychology, 113, 39–43.

    Article  PubMed  Google Scholar 

  • Meehl, P. E., & Golden, R. R. (1982). Taxometric methods. In P. C. Kendall & J. N. Butcher (Eds.), Handbook of research methods in clinical psychology. New York: Wiley.

    Google Scholar 

  • Middeldorp, C. M., Cath, D. C., Van Dyck, R., & Boomsma, D. I. (2005). The co-morbidity of anxiety and depression in the perspective of genetic epidemiology: A review of twin and family studies. Psychological Medicine, 35, 611–624.

    Article  PubMed  Google Scholar 

  • Mineka, S., Watson, D., & Clark, L. A. (1998). Comorbidity of anxiety and unipolar mood disorders. Annual Review of Psychology, 49, 377–412.

    Article  PubMed  Google Scholar 

  • Muthén, B. (2008). Latent variable hybrids: Overview of old and new models. In G. R. Hancock & K. M. Samuelsen (Eds.), Advances in latent variable mixture models (pp. 1–24). Charlotte: Information Age Publishing.

    Google Scholar 

  • Nathan, P. E. (1998). Practice guidelines: Not yet ideal. American Psychologist, 53, 290–299.

    Article  Google Scholar 

  • O’Connor, B. P. (2002). The search for dimensional structure differences between normality and abnormality: A statistical review of the published data on personality and psychopathology. Journal of Personality and Social Psychology, 83, 962–982.

    Article  PubMed  Google Scholar 

  • Olatunji, B., Williams, B., Haslam, N., Abramowitz, J. S., & Tolin, D. F. (2008). The latent structure of obsessive-compulsive symptoms: A taxometric study. Depression & Anxiety, 25, 956–968.

    Article  Google Scholar 

  • Pickles, A., & Angold, A. (2003). Natural categories or fundamental dimensions: On carving nature at the joints and the rearticulation of psychopathology. Development and Psychopathology, 15, 529–551.

    Article  PubMed  Google Scholar 

  • Robins, L. N. (1994). How recognizing “comorbidities” in psychopathology may lead to an improved research nosology. Clinical Psychology: Science and Practice, 1, 93–95.

    Article  Google Scholar 

  • Ruscio, J., Haslam, N., & Ruscio, A. M. (2006). Introduction to the taxometric method: A practical guide. Mahwah: Lawrence Erlbaum Associates Publishers.

    Google Scholar 

  • Rutter, M. (1994). Comorbidity: Meanings and mechanisms. Clinical Psychology: Science and Practice, 1, 100–103.

    Article  Google Scholar 

  • Schmidt, N. B., Kotov, R., Bernstein, A., Zvolensky, M. J., Joiner, T. E., & Lewinsohn, P. M. (2007). Mixed anxiety depression: Taxometric exploration of the validity of a diagnostic category in youth. Journal of Affective Disorders, 98, 83–89.

    Article  PubMed  Google Scholar 

  • Schmidt, N. B., Kotov, R., & Joiner, T. E., Jr. (2004). Taxometrics: Toward a new diagnostic scheme for psychopathology. Washington: American Psychological Association.

    Book  Google Scholar 

  • Schulte, D. (1996). Tailor-made and standardized therapy: Complementary tasks in behavior therapy: A contrarian view. Journal of Behavior Therapy and Experimental Psychiatry, 27, 119–126.

    Article  PubMed  Google Scholar 

  • Spitzer, R. L. (1994). Psychiatric “co-occurrence?” I’ll stick with “comorbidity”. Clinical Psychology: Science and Practice, 1, 88–92.

    Article  Google Scholar 

  • Tellegen, A., Watson, D., & Clark, L. A. (1999). On the dimensional and hierarchical structure of affect. Psychological Science, 10, 297–303.

    Article  Google Scholar 

  • Titterington, D. M., Smith, A. F. M., & Makov, U. E. (1985). Statistical analysis of finite mixture distributions. Chichester: Wiley.

    Google Scholar 

  • Van Praag, H. M. (1996). Serotonin-related, anxiety/aggression-driven, stressor-precipitated depression. A psychobiological hypothesis. European Psychiatry, 11, 57–67.

    Article  PubMed  Google Scholar 

  • Waller, N. G., & Meehl, P. E. (1998). Multivariate taxometric procedures: Distinguishing types from continua. Thousand Oaks: Sage Publications.

    Google Scholar 

  • Watson, D. (2005). Rethinking the mood and anxiety disorders: A quantitative hierarchical model for DSM-V. Journal of Abnormal Psychology, 114, 522–536.

    Article  PubMed  Google Scholar 

  • Widiger, T. A., & Ford-Black, M. M. (1994). Diagnoses and disorders. Clinical Psychology: Science and Practice, 1, 84–87.

    Article  Google Scholar 

  • Widiger, T. A., & Sankis, L. M. (2000). Adult psychopathology: Issues and controversies. Annual Review of Psychology, 51, 377–404.

    Article  PubMed  Google Scholar 

  • Widiger, T. A., Simonsen, E., Krueger, R., Livesley, J. W., & Verheul, R. (2005). Personality disorders research agenda for the DSM-V. Journal of Personality Disorders, 19, 315–338.

    Article  PubMed  Google Scholar 

  • Wolfe, J. H. (1970). Pattern clustering by multivariate mixture analysis. Multivariate Behavioral Research, 5, 329–350.

    Article  Google Scholar 

  • Zachar, P., & Kendler, K. S. (2007). Psychiatric disorders: A conceptual taxonomy. American Journal of Psychiatry, 164, 557–565.

    Article  PubMed  Google Scholar 

  • Zimmerman, M., & Mattia, J. I. (1999). Psychiatric diagnosis in clinical practice: Is comorbidity being missed? Comprehensive Psychiatry, 40, 182–191.

    Article  PubMed  Google Scholar 

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Bernstein, A., Zvolensky, M.J. (2011). Empirical Approaches to the Study of Latent Structure and Classification of Child and Adolescent Anxiety Psychopathology. In: McKay, D., Storch, E. (eds) Handbook of Child and Adolescent Anxiety Disorders. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7784-7_7

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